Performability Management of 5G Service Chains with Rejuvenation: The Open5GS Use Case

This paper presents a stochastic framework for managing the performability (performance and availability) of 5G-based service function chains (SFCs). By integrating an M/G/m queueing model for latency estimation and Stochastic Reward Networks (SRNs) for availability assessment, we evaluate the impact of software rejuvenation on 5 G network performability. The final goal is to derive the optimal 5G setting that meets both performance (e.g., delay threshold) and availability (e.g., the 'five nines'). Our testbed, based on Open5GS, validates the model and provides insights into optimal 5G settings that balance performance, availability, and resource utilization.